Number of enterprises harnessing the power and benefits of cloud computing are rising rapidly. The worldwide public cloud services market is projected to grow 17.5 percent in 2019 to total $214.3 billion, up from $182.4 billion in 2018, according to Gartner, Inc. Gartner expects that by the end of 2019, more than 30 percent of technology providers’ new software investments will shift from cloud-first to cloud-only. Digital transformation, agility, mobility, Internet of Things (IoT), Artificial intelligence (AI) and Machine Learning (ML) are some of the key factors driving the cloud computing adoption. Businesses choose cloud computing services
over on-premises solutions to reap the benefits of flexibility, efficiency and strategic value. As enterprises migrate some or all of their operations into the cloud, it is integral to have a detailed strategy beforehand. Whether you have chosen Google Cloud, Amazon Web Services (AWS), Azure or any other cloud service provider for hosting your business operations, make it a point to monitor and optimize cloud performance for better resilience when facing increased service demands. Given below are a few ways to increase the performance and efficiency of your enterprise cloud solutions.
1. Create Plan
Choosing the right mix of services and design choices is essential for reaping the benefits of cloud computing services. A cloud architecture consists of physical layer, infrastructure layer, platform layer and application layer. You need to create a plan to check whether the application is suited for the cloud architecture. Seeking the expertise of Microsoft Azure cloud developers would be a right choice. They would help in determining whether the cloud environment is better suited for deploying and scaling the components of an application. Having a better idea about the architecture of cloud computing platforms
and your enterprise applications is important, as it would help in deciding the resources required from cloud providers. In order to monitor the performance of your cloud operations, it is ideal to deploy monitoring tools and applications.
2. Use Load Balancer
Companies use cloud computing platforms for running a wide range of applications, such as storing customer information, track product data, test and custom applications and more. Whenever there is a high volume traffic to your website, then it might lead to the overloading of server resulting in a breakdown of the entire system. Placing a load balancer would help in autoscaling resources in response to the demand. Load balancing can be defined as a process of distributing the computing resources across multiple application servers running in a cloud environment. Using a load balancer in cloud environment helps to avail optimal resource utilization and reduce the computation time.
Most cloud service providers offer load balancing technologies, including Amazon Web Services (AWS), Microsoft Azure cloud
, Google, Rackspace and more. Load balancing services of Azure are categorized into global load balancing (Traffic Manager and Front Door) and regional load balancing (Standard Load Balancer) services, that distributes traffic for its cloud services across multiple data centers. Cloud load balancing enables enterprises to take advantage of the cloud's scalability and agility by routing the incoming traffic to best performing instances. Moreover, it can provide businesses with metrics that helps in identifying the slow running application instances.
3. Implement Caching Services
Companies have been migrating their data and operations
to the cloud computing platforms in order to reap the benefits of easy remote access and efficient back up. In today’s mobile-centric world, it is crucial to access data quickly as it determines the overall performance of an application. That is why it is recommended to implement cloud caching to boost the performance and scalability of a system. Caching means copying the frequently accessed data to a temporary storage located close to cloud application. Creating a cloud caching improves the application performance, reduce database costs and prevent crashes at times of spikes. Maintaining a cached version of your client application not only improves its response times but also reduces the load on the server. Cache services available in the cloud include Azure Cache for Redis, Amazon ElastiCache and Google App Engine Memcache.
Keep track of the issues and processes in the cloud for ensuring its high performance and efficiency. Do seek the services of experienced Azure cloud developers
to bring all the cloud benefits to your enterprise product and services.